Novel Sensors and Measurement Methods Based on Impedance Spectroscopy
Funded by AiF Von der Allianz für Industrie und Forschung (AiF ZIM) , Duration: 06/2025 - 12/2027 (31 months)
Partners: TU Chemnitz – Measurement and Sensor Technology (MST), PTS-Institut für Fasern und Papier gGmbH, BAUMACO Handels- und Produktions GmbH & Co. KG, Krebs‘ engineers GmbH
Funded by AiF ZIM (AiF) , Duration: 04/2025 - 03/2027 (24 months)
Partners: ViALUX Messtechnik + Bildverarbeitung GmbH
The project develops a 3D body scanner combining DLP video rasterstereography-based posture analysis, foot pressure distribution analysis, and bioimpedance spectroscopy. The system supports orthotic and prosthetic fitting into the medical-therapeutic domain, enabling quantitative tracking and documentation of treatment progress. Bioimpedance analysis helps detect muscular imbalances and abnormal tension, providing a holistic quantitative picture of the patient.
Funded by EU ZIM (Deutschland-Schweden-Kooperation) , Duration: 05/2026 – 04/2028 (24 Monate)
Partners: FIBERCHECK GmbH (Chemnitz), Mid Sweden University (Sundsvall, Schweden), IoT BRIDGE AB (Schweden)
Monitoring wear parameters on bridges is essential to track structural condition and assess maintenance needs early. The consortium is developing a cost-effective, reliable, and sufficiently accurate monitoring system based on embedded low-power devices, leveraging synergies from German-Swedish cooperation.
Funded by AiF Von der Allianz für Industrie und Forschung (AiF ZIM) , Duration: 06/2025 - 12/2027 (31 months)
Partners: TU Chemnitz – Measurement and Sensor Technology (MST), PTS-Institut für Fasern und Papier gGmbH, BAUMACO Handels- und Produktions GmbH & Co. KG, Krebs‘ engineers GmbH
Funded by AiF ZIM (AiF) , Duration: 04/2025 - 03/2027 (24 months)
Partners: ViALUX Messtechnik + Bildverarbeitung GmbH
The project develops a 3D body scanner combining DLP video rasterstereography-based posture analysis, foot pressure distribution analysis, and bioimpedance spectroscopy. The system supports orthotic and prosthetic fitting into the medical-therapeutic domain, enabling quantitative tracking and documentation of treatment progress. Bioimpedance analysis helps detect muscular imbalances and abnormal tension, providing a holistic quantitative picture of the patient.
Funded by EU ZIM (Deutschland-Schweden-Kooperation) , Duration: 05/2026 – 04/2028 (24 Monate)
Partners: FIBERCHECK GmbH (Chemnitz), Mid Sweden University (Sundsvall, Schweden), IoT BRIDGE AB (Schweden)
Monitoring wear parameters on bridges is essential to track structural condition and assess maintenance needs early. The consortium is developing a cost-effective, reliable, and sufficiently accurate monitoring system based on embedded low-power devices, leveraging synergies from German-Swedish cooperation.
Wearable Systems
Funded by BMBF BMBFR , Duration: 01/2025 - 12/2027 (36 months)
Partners: NOON GmbH, Sanimax GmbH, TUC-Motorik, Kognition und Neurophysiologie (MKN)
Patients with neurological conditions such as Multiple Sclerosis or musculoskeletal disorders such as herniated discs require integrated diagnostic-therapeutic solutions. Conventional medical devices often separate diagnosis and therapy and rely on rigid, non-wearable components. The project consortium addresses this challenge with an innovative textile-integrated sensor and stimulation system. The goal is to develop a washable, wearable neurofunctional suit that combines diagnostic functions (electromyography (EMG), bioimpedance spectroscopy, force myography (FMG)) with therapeutic applications (TENS electrostimulation) in a single textile platform. The innovation lies in the permanent integration of sensors directly into textile structures through knitting technology, rather than using removable standard sensors. This approach ensures continuous skin contact, wearing comfort, and washability while maintaining medical device compliance standards. The SmartTexStim suit provides patients with a comprehensive solution for muscle activity monitoring and therapeutic stimulation in everyday life.
Funded by BMWK BMWK , Duration: 01/2026 - 12/2027 (24 months)
Partners: BITech AG, Textildruckerei Lunzenau
More than 430 million people worldwide live with hearing impairment — a number projected to surpass 700 million by 2050. For many, sign language is their only means of communication, yet the vast majority of people around them cannot understand it. This communication barrier contributes to social isolation, reduced quality of life, and limited participation in everyday situations. Bridging this gap effectively and unobtrusively remains an unsolved challenge.
Current translation technologies fall short in critical ways. Camera-based systems are sensitive to lighting, require fixed setups, and raise serious privacy concerns. Glove-based devices are bulky, expensive, and socially conspicuous. Existing armband solutions relying solely on EMG signals suffer from signal crosstalk, skin sensitivity, and poor generalization across users.
GebärdenLex takes a fundamentally new approach. The project develops a discreet, washable textile armband that fuses three complementary biosignal modalities, including Electromyography (EMG), Force Myography (FMG), and Inertial Measurement Units (IMU), worn on both forearms simultaneously. This hybrid sensing strategy captures the full richness of hand and finger movement with a robustness no single-sensor approach can match, while eliminating any dependency on cameras or restrictive wearables. Advanced machine learning algorithms process the combined signals in real time, recognizing 44 core gestures from A1-level German Sign Language and converting them into text or spoken language with a latency of under 100 milliseconds. A companion mobile app delivers live visualization of recognized gestures, automatic personalized sensor calibration, and multilingual speech output in English, French, and Spanish.
The result is a wearable communication aid that is lightweight (≈80 g), comfortable for at least 8 hours of daily use, washable, and priced at around €200, a fraction of the cost of competing solutions. By combining textile engineering, biosignal processing, and embedded machine learning across three specialized partners, GebärdenLex aims to deliver a practical, everyday tool that gives people who are deaf or hard of hearing a new voice in a hearing world.
Funded by AiF ZIM (AiF) , Duration: 04/2025 - 03/2027 (24 months)
Partners: ViALUX Messtechnik + Bildverarbeitung GmbH
The project develops a 3D body scanner combining DLP video rasterstereography-based posture analysis, foot pressure distribution analysis, and bioimpedance spectroscopy. The system supports orthotic and prosthetic fitting into the medical-therapeutic domain, enabling quantitative tracking and documentation of treatment progress. Bioimpedance analysis helps detect muscular imbalances and abnormal tension, providing a holistic quantitative picture of the patient.
Funded by the Central Innovation Program for SMEs (ZIM) , Duration: 06/01/2022 - 05/31/2024
Partners: TUC-Measurement and Sensor Technology, Mosca Electronics and Drive Technology GmbH, Hammerich Orthopädie GmbH Wismar
The aim of the project was to develop a new type of intelligent, durable insole with multi-sensors (10-20) for precise foot pressure measurement in the range of 5-800 kPa. A dispersion process for the production of ultra-thin CNT sensors with a layer thickness of 350-400 µm was developed.
Funded by BMBF BMBFR , Duration: 01/2025 - 12/2027 (36 months)
Partners: NOON GmbH, Sanimax GmbH, TUC-Motorik, Kognition und Neurophysiologie (MKN)
Patients with neurological conditions such as Multiple Sclerosis or musculoskeletal disorders such as herniated discs require integrated diagnostic-therapeutic solutions. Conventional medical devices often separate diagnosis and therapy and rely on rigid, non-wearable components. The project consortium addresses this challenge with an innovative textile-integrated sensor and stimulation system. The goal is to develop a washable, wearable neurofunctional suit that combines diagnostic functions (electromyography (EMG), bioimpedance spectroscopy, force myography (FMG)) with therapeutic applications (TENS electrostimulation) in a single textile platform. The innovation lies in the permanent integration of sensors directly into textile structures through knitting technology, rather than using removable standard sensors. This approach ensures continuous skin contact, wearing comfort, and washability while maintaining medical device compliance standards. The SmartTexStim suit provides patients with a comprehensive solution for muscle activity monitoring and therapeutic stimulation in everyday life.
Funded by BMWK BMWK , Duration: 01/2026 - 12/2027 (24 months)
Partners: BITech AG, Textildruckerei Lunzenau
More than 430 million people worldwide live with hearing impairment — a number projected to surpass 700 million by 2050. For many, sign language is their only means of communication, yet the vast majority of people around them cannot understand it. This communication barrier contributes to social isolation, reduced quality of life, and limited participation in everyday situations. Bridging this gap effectively and unobtrusively remains an unsolved challenge.
Current translation technologies fall short in critical ways. Camera-based systems are sensitive to lighting, require fixed setups, and raise serious privacy concerns. Glove-based devices are bulky, expensive, and socially conspicuous. Existing armband solutions relying solely on EMG signals suffer from signal crosstalk, skin sensitivity, and poor generalization across users.
GebärdenLex takes a fundamentally new approach. The project develops a discreet, washable textile armband that fuses three complementary biosignal modalities, including Electromyography (EMG), Force Myography (FMG), and Inertial Measurement Units (IMU), worn on both forearms simultaneously. This hybrid sensing strategy captures the full richness of hand and finger movement with a robustness no single-sensor approach can match, while eliminating any dependency on cameras or restrictive wearables. Advanced machine learning algorithms process the combined signals in real time, recognizing 44 core gestures from A1-level German Sign Language and converting them into text or spoken language with a latency of under 100 milliseconds. A companion mobile app delivers live visualization of recognized gestures, automatic personalized sensor calibration, and multilingual speech output in English, French, and Spanish.
The result is a wearable communication aid that is lightweight (≈80 g), comfortable for at least 8 hours of daily use, washable, and priced at around €200, a fraction of the cost of competing solutions. By combining textile engineering, biosignal processing, and embedded machine learning across three specialized partners, GebärdenLex aims to deliver a practical, everyday tool that gives people who are deaf or hard of hearing a new voice in a hearing world.
Funded by AiF ZIM (AiF) , Duration: 04/2025 - 03/2027 (24 months)
Partners: ViALUX Messtechnik + Bildverarbeitung GmbH
The project develops a 3D body scanner combining DLP video rasterstereography-based posture analysis, foot pressure distribution analysis, and bioimpedance spectroscopy. The system supports orthotic and prosthetic fitting into the medical-therapeutic domain, enabling quantitative tracking and documentation of treatment progress. Bioimpedance analysis helps detect muscular imbalances and abnormal tension, providing a holistic quantitative picture of the patient.
Funded by the Central Innovation Program for SMEs (ZIM) , Duration: 06/01/2022 - 05/31/2024
Partners: TUC-Measurement and Sensor Technology, Mosca Electronics and Drive Technology GmbH, Hammerich Orthopädie GmbH Wismar
The aim of the project was to develop a new type of intelligent, durable insole with multi-sensors (10-20) for precise foot pressure measurement in the range of 5-800 kPa. A dispersion process for the production of ultra-thin CNT sensors with a layer thickness of 350-400 µm was developed.
Electrochemical Sensors
Funded by ZIM , Duration: 07/2026 - 12/2028 (30 months)
Partners: SEIKOM Electronic GmbH & Co. KG
MultiGASens develops an adaptive chemiresistive multi gas sensor system for monitoring indoor environments and industrial processes. The project aims to enable the simultaneous detection and quantification of multiple gases in complex gas mixtures while also considering flow related effects that influence sensor response. At the core of the system is a nanostructured sensor array based on functional composite materials, combined with integrated electronics and machine learning based signal analysis. Different sensor channels generate characteristic gas fingerprints, which are evaluated together with physical context parameters such as temperature, humidity and gas flow. This approach is intended to improve selectivity, robustness and real time performance under dynamic operating conditions. Chemnitz University of Technology contributes the scientific development of the sensor materials, electrode arrays, gas response characterization and data driven evaluation methods. SEIKOM Electronic GmbH & Co. KG focuses on industrial system integration, electronics, housing design, flow sensing and the preparation of the system for demanding industrial requirements. Together, the partners aim to create a compact intelligent sensor module for safer, more efficient and digitally connected gas monitoring.
Funded by SAB von der Sächsischen Aufbaubank (SAB) , Duration: 08/2025 - 12/2027 (29 months)
Partners: TUC - Mess- und Sensortechnik und Universität Leipzig
ZyPepPOCSense project develops a cyclic-peptide-based assay designed for on-site screening of swabs and surfaces, prioritizing simplicity of use and robust performance in real-world settings. While antibody-based detection is highly specific, antibodies often require cold-chain storage and can be expensive to produce and distribute. Cyclic peptides can offer comparable affinity and selectivity with improved thermal and proteolytic stability and are amenable to automated, lower-cost synthesis; this project will test the hypothesis that cyclic peptides can match antibody performance while enabling longer shelf life and simpler logistics, thereby supporting faster, targeted treatment decisions and reducing unnecessary antibiotic use.
Funded by AiF von der Allianz für Industrie und Forschung (AiF ZIM) , Duration: 07/2025 - 12/2027 (30 months)
Partners: TUC - Mess- und Sensortechnik und FFI GmbH Nohra
Funded by AiF Von der Allianz für Industrie und Forschung (AiF ZIM) , Duration: 09/2025 - 04/2028 (32 months)
Partners: TUC - Mess- und Sensortechnik, Sciospec Scientific Instruments GmbH, Peptina Biotech Ltda, SENAI ISI-EQ
Funded by EU von der Deutschen Forschungsgemeinschaft , Duration: 01/2025 - 12/2027 (36 months)
Partners: TUC - Mess- und Sensortechnik, Prof. Dr. Michael Mehring (TUC, Coordination Chemistry), Prof. Igor Pasti (University of Belgrade, Serbia), verschiedene Teilnehmer in Deutschland, Serbien, Italien, and Tunisien
The HOC-SENSE project aims to develop non-enzymatic, electrochemical sensors for the direct detection of halogenated organic compounds (HOCs), such as brominated flame retardants and polychlorinated biphenyls, in environmental samples. Using oxamide-based complexes (OXCs) hybridized with nanomaterials (graphene, TiO2, conductive polymers), the project targets robust, selective, and sensitive detection of persistent pollutants. The innovative sensors reduce the potential required for HOC reduction and enhance sensor performance by facilitating electron transfer. Demonstrators include poly [Ni2(oxamide)] modified electrodes for lindane detection and functionalized laser-induced graphene electrodes for improved sensitivity.
Funded by Dieses Vorhaben wird gefördert im Rahmen der FuE-Verbundprojektförderung 2021–2027. , Duration: 12/2024 - 11/2026 (24 months)
Partners: Fraunhofer ENAS, Fraunhofer IWU, TUC - Mess- und Sensortechnik, Saralon GmbH (SME), Otto Injection Molding GmbH & Co. KG (SME)
The Print4POC project aims to develop a technology platform for functional printing of actuator and sensor elements in microfluidic point-of-care (PoC) systems. The focus is on replacing conventional, resource-intensive subtractive methods with additive printing technologies such as screen printing and aerosol jet printing. Various substrates (including sustainable materials like bioplastics) in 2D, 2.5D, and 3D forms will be functionalized. As a demonstrator, a biospecific screen-printed biosensor based on functionalized MWCNTs and gold nanoparticles will be developed for detecting prostate cancer biomarkers. This innovative approach allows for selective DNA immobilization and ultrasensitive electrochemical detection of PSA and IL-6.
Funded by vom DAAD - Projektbezogenes Austauschprogramm , Duration: 01/2025 - 12/2026 (24 months)
Partners: Chemnitz University of Technology (Germany), Federal University of Parana (Brazil)
Funded by vom DAAD - Projektbezogenes Austauschprogramm , Duration: 01/2026 - 12/2027 (24 months)
Partners: Technische Universität Chemnitz, Chair of Measurement and Sensor Technology (Germany), Conservatoire National des Arts et Métiers CNAM (France)
Funded by vom DAAD - Internationales Kooperationsprogramm , Duration: 01/2025 - 12/2026 (24 months)
Partners: Deutschland: Chemnitz University of Technology (TUC), EvoSmarTec GmbH, Mali: University of Science, Technique and Technologies of Bamako (USTTB), CERFILTEX, DONYATEK SARL, Ägypten: (Partneruniversitäten über Doktorandenaustausch eingebunden)
The OASIS project (Open Innovation Alliance for Sustainable Islamic Societies in Water and Health) aims to foster interdisciplinary research, innovation, and capacity building in the areas of water and health through international cooperation between Germany, Mali, and Egypt. Core objectives include PhD student exchanges, joint innovation schools and camps, and industrial internships to address societal challenges in water and healthcare using open innovation methodologies. The project emphasizes mutual learning and co-creation between academic and non-academic stakeholders through hands-on training, joint research, and networking.
Funded by ZIM , Duration: 07/2026 - 12/2028 (30 months)
Partners: SEIKOM Electronic GmbH & Co. KG
MultiGASens develops an adaptive chemiresistive multi gas sensor system for monitoring indoor environments and industrial processes. The project aims to enable the simultaneous detection and quantification of multiple gases in complex gas mixtures while also considering flow related effects that influence sensor response. At the core of the system is a nanostructured sensor array based on functional composite materials, combined with integrated electronics and machine learning based signal analysis. Different sensor channels generate characteristic gas fingerprints, which are evaluated together with physical context parameters such as temperature, humidity and gas flow. This approach is intended to improve selectivity, robustness and real time performance under dynamic operating conditions. Chemnitz University of Technology contributes the scientific development of the sensor materials, electrode arrays, gas response characterization and data driven evaluation methods. SEIKOM Electronic GmbH & Co. KG focuses on industrial system integration, electronics, housing design, flow sensing and the preparation of the system for demanding industrial requirements. Together, the partners aim to create a compact intelligent sensor module for safer, more efficient and digitally connected gas monitoring.
Funded by SAB von der Sächsischen Aufbaubank (SAB) , Duration: 08/2025 - 12/2027 (29 months)
Partners: TUC - Mess- und Sensortechnik und Universität Leipzig
ZyPepPOCSense project develops a cyclic-peptide-based assay designed for on-site screening of swabs and surfaces, prioritizing simplicity of use and robust performance in real-world settings. While antibody-based detection is highly specific, antibodies often require cold-chain storage and can be expensive to produce and distribute. Cyclic peptides can offer comparable affinity and selectivity with improved thermal and proteolytic stability and are amenable to automated, lower-cost synthesis; this project will test the hypothesis that cyclic peptides can match antibody performance while enabling longer shelf life and simpler logistics, thereby supporting faster, targeted treatment decisions and reducing unnecessary antibiotic use.
Funded by AiF von der Allianz für Industrie und Forschung (AiF ZIM) , Duration: 07/2025 - 12/2027 (30 months)
Partners: TUC - Mess- und Sensortechnik und FFI GmbH Nohra
Funded by AiF Von der Allianz für Industrie und Forschung (AiF ZIM) , Duration: 09/2025 - 04/2028 (32 months)
Partners: TUC - Mess- und Sensortechnik, Sciospec Scientific Instruments GmbH, Peptina Biotech Ltda, SENAI ISI-EQ
Funded by EU von der Deutschen Forschungsgemeinschaft , Duration: 01/2025 - 12/2027 (36 months)
Partners: TUC - Mess- und Sensortechnik, Prof. Dr. Michael Mehring (TUC, Coordination Chemistry), Prof. Igor Pasti (University of Belgrade, Serbia), verschiedene Teilnehmer in Deutschland, Serbien, Italien, and Tunisien
The HOC-SENSE project aims to develop non-enzymatic, electrochemical sensors for the direct detection of halogenated organic compounds (HOCs), such as brominated flame retardants and polychlorinated biphenyls, in environmental samples. Using oxamide-based complexes (OXCs) hybridized with nanomaterials (graphene, TiO2, conductive polymers), the project targets robust, selective, and sensitive detection of persistent pollutants. The innovative sensors reduce the potential required for HOC reduction and enhance sensor performance by facilitating electron transfer. Demonstrators include poly [Ni2(oxamide)] modified electrodes for lindane detection and functionalized laser-induced graphene electrodes for improved sensitivity.
Funded by Dieses Vorhaben wird gefördert im Rahmen der FuE-Verbundprojektförderung 2021–2027. , Duration: 12/2024 - 11/2026 (24 months)
Partners: Fraunhofer ENAS, Fraunhofer IWU, TUC - Mess- und Sensortechnik, Saralon GmbH (SME), Otto Injection Molding GmbH & Co. KG (SME)
The Print4POC project aims to develop a technology platform for functional printing of actuator and sensor elements in microfluidic point-of-care (PoC) systems. The focus is on replacing conventional, resource-intensive subtractive methods with additive printing technologies such as screen printing and aerosol jet printing. Various substrates (including sustainable materials like bioplastics) in 2D, 2.5D, and 3D forms will be functionalized. As a demonstrator, a biospecific screen-printed biosensor based on functionalized MWCNTs and gold nanoparticles will be developed for detecting prostate cancer biomarkers. This innovative approach allows for selective DNA immobilization and ultrasensitive electrochemical detection of PSA and IL-6.
Funded by vom DAAD - Projektbezogenes Austauschprogramm , Duration: 01/2025 - 12/2026 (24 months)
Partners: Chemnitz University of Technology (Germany), Federal University of Parana (Brazil)
Funded by vom DAAD - Projektbezogenes Austauschprogramm , Duration: 01/2026 - 12/2027 (24 months)
Partners: Technische Universität Chemnitz, Chair of Measurement and Sensor Technology (Germany), Conservatoire National des Arts et Métiers CNAM (France)
Funded by vom DAAD - Internationales Kooperationsprogramm , Duration: 01/2025 - 12/2026 (24 months)
Partners: Deutschland: Chemnitz University of Technology (TUC), EvoSmarTec GmbH, Mali: University of Science, Technique and Technologies of Bamako (USTTB), CERFILTEX, DONYATEK SARL, Ägypten: (Partneruniversitäten über Doktorandenaustausch eingebunden)
The OASIS project (Open Innovation Alliance for Sustainable Islamic Societies in Water and Health) aims to foster interdisciplinary research, innovation, and capacity building in the areas of water and health through international cooperation between Germany, Mali, and Egypt. Core objectives include PhD student exchanges, joint innovation schools and camps, and industrial internships to address societal challenges in water and healthcare using open innovation methodologies. The project emphasizes mutual learning and co-creation between academic and non-academic stakeholders through hands-on training, joint research, and networking.
Wireless Sensors and Energy Harvesting
Funded by EU ZIM (Deutschland-Schweden-Kooperation) , Duration: 05/2026 – 04/2028 (24 Monate)
Partners: FIBERCHECK GmbH (Chemnitz), Mid Sweden University (Sundsvall, Schweden), IoT BRIDGE AB (Schweden)
Monitoring wear parameters on bridges is essential to track structural condition and assess maintenance needs early. The consortium is developing a cost-effective, reliable, and sufficiently accurate monitoring system based on embedded low-power devices, leveraging synergies from German-Swedish cooperation.
Funded by EU ZIM (Deutschland-Schweden-Kooperation) , Duration: 05/2026 – 04/2028 (24 Monate)
Partners: FIBERCHECK GmbH (Chemnitz), Mid Sweden University (Sundsvall, Schweden), IoT BRIDGE AB (Schweden)
Monitoring wear parameters on bridges is essential to track structural condition and assess maintenance needs early. The consortium is developing a cost-effective, reliable, and sufficiently accurate monitoring system based on embedded low-power devices, leveraging synergies from German-Swedish cooperation.
Micro and Nano Sensors
Partners: TUC-Mess- und Sensortechnik, Straka 3D-Lasertechnik GmbH, Universität Bayreuth
Funded by SAB M-ERA.NET und Sächsische Aufbaubank (SAB) , Duration: 08.04.2024 - 31.03.2027 (36 Monate), Fördervolumen: 544.609 €
Partners: TUC-Mess- und Sensortechnik, internationale Partner
The ISIMON project aims to develop a novel self-sensing Fibre Reinforced Polymer (FRP) vessel for high-pressure fuel storage. This innovation addresses the critical need for monitoring both the fabrication process and the structural health of the vessel during its service life. We achieve this by integrating highly sensitive nanocomposite (NC) based sensors into the FRPs during the winding process for enhancing safety and performance in the automotive, aeronautics, and aerospace industries. Advanced modeling, simulation, and machine learning techniques optimize the smart FRP vessel, reducing material usage through topological optimization. Experimental tests and machine learning algorithms for structural health monitoring validate the vessel's performance, potentially revolutionising hydrogen fuel storage with cost-effective, real-time monitoring capabilities.
Funded by SAB Sächsische Aufbaubank (SAB) , Duration: 01.03.2025 - 31.12.2027 (34 Monate), Fördervolumen: 850.627 €
Partners: Professur für Mess- und Sensortechnik, Professur für Produktionssysteme und -prozesse
PolySens focuses on developing polymer-based nanocomposite strain and pressure sensors for machine tool applications. The project aims to develop a generic methodology for sensor material design, integration, and validation, enabling sustainable Industry 4.0 applications in mechanical engineering, including bolt joint monitoring and hydrodynamic linear guide lubrication control. Through systematic material development, integration into real machine components, and validated measurement methods, a transferable solution for intelligent manufacturing systems is created.
Funded by Zentrales Innovationsprogramm Mittelstand (ZIM) , Duration: 01.07.2025 - 31.12.2027 (30 Monate), Fördervolumen: 220.000 €
Partners: TUC-Mess- und Sensortechnik, Industriepartner
Funded by vom BmWE, Laufzeit 2023-2026 , Duration: 2023-2026
Partners: TUC-Mess- und Sensortechnik, Siebdruck Freudenberg GmBH, etatronix GmbH
Funded by BMWi vom BmWi, Laufzeit 2020-2022
Partners: TUC-Mess- und Sensortechnik, JG special products GmbH, aiXtrusion GmbH, IPM Industrieprodukte Meissner GmbH
Funded by BMWi vom BmWi, Laufzeit 2020-2022
Partners: TUC-Mess- und Sensortechnik, Fraunhofer-Institut für Mikroelektronische Schaltungen und Systeme IMS, Gesellschaft für Elektronik und Design mbH
Funded by SAB EU the SAB from European funds, duration 7/2018-6/2021
Partners: TUC measurement and sensor technology, TUC numerical mathematics, TUC control technology and system dynamics, TUC supramolecular chemistry
With the developed sensor concept, a continuous monitoring of nitrate in the soil is possible. Due to the self-sufficient energy supply, the sensor system works maintenance-free and efficiently. A field or farm-related assignment of nitrate input is possible through suitable placement of the sensors and a suitable measuring point density. This sensor thus serves both as a control instrument both for farmers to evaluate the soil conditions as a basis for determining the fertilizer requirements for the respective crop and the necessary nutrient input and for the responsible environmental authorities to evaluate the nitrate content in soil to protect water bodies and comply with the rules on fertilization according to good professional practice, e.g. B. Compliance with distances to water bodies or fertilization black-out periods. This needs assessment results in cost savings through optimal fertilization while protecting the soil at the same time.
Duration: 2022 - 2024
Partners: TUC-Measurement and Sensor Technology, HEMA - Orthopädische Systeme GmbH
Funded by EU the European Union as part of the M-Era.Net program , Duration: 06/2020 - 12/2023 (42 months) (43 months)
Partners: TUC-Measurement and Sensor Technology, TUC-Lightweight Construction and Plastics Processing, Luxembourg Institute of Science and Technology, Technical University of Liberec
Funded by the Federal Ministry of Agriculture and Food (BmLE) , Duration: 2020 - 2023
Partners: TUC-Measurement and Sensor Technology, kessler engineering GmbH, Gummiwerk KRAIBURG Elastik GmbH & Co. KG, FFI GmbH, Institute for Bioprocess and Analysis Measurement Technology e.V.
Duration: 15/06/2021 - 31/05/2024
Partners: TUC-Measurement and Sensor Technology, TUC-Professorship for Lightweight Structures and Plastics Processing, ?zmir Katip Çelebi University (Turkey), University of Sao Paulo FFCLRP (Brazil), Bavi Plastic Ltda. (Brazil)
Funded by the Central Innovation Program for SMEs (ZIM) , Duration: 06/01/2022 - 05/31/2024
Partners: TUC-Measurement and Sensor Technology, Mosca Electronics and Drive Technology GmbH, Hammerich Orthopädie GmbH Wismar
The aim of the project was to develop a new type of intelligent, durable insole with multi-sensors (10-20) for precise foot pressure measurement in the range of 5-800 kPa. A dispersion process for the production of ultra-thin CNT sensors with a layer thickness of 350-400 µm was developed.
Funded by the Central Innovation Program for SMEs (ZIM) , Duration: 08/01/2022 - 07/31/2024
Partners: TUC-Measurement and Sensor Technology, Motz GmbH
Funded by the Central Innovation Program for SMEs (ZIM) , Duration: 03/01/2023 - 02/28/2025
Partners: TUC-Measurement and Sensor Technology, Hydrostat International GmbH Energy Absorbing Devices + Service, ElektroSolid GmbH
Funded by the Central Innovation Program for SMEs (ZIM) , Duration: 02/01/2023 - 01/31/2025
Partners: TUC-Measurement and Sensor Technology, VELA Performance GmbH, Entiac GmbH
Funded by BMWi BMWi and TU Chemnitz , Duration: 1/2020-12/2021 (24 months)
Partners: TUC measurement and sensor technology
Funded by BMWi the BMWi as part of the IGF program, project duration: 08/2018 -06/2020 , Duration: 08/2018 -06/2020 (23 months)
Partners: TUC measurement and sensor technology, TUC print media technology, TITV Greiz
Funded by SAB the SAB and EFFRE funds , Duration: 1/2020 - 04/2022 (28 months)
Partners: TUC measurement and sensor technology, Fraunhofer Institute for Machine Tools and Forming Technology (IWU), Scherdel Marienberg GmbH, ANDAV electronics GmbH i. G., IDT Industrial and Sealing Technology Works Kupferring GmbH
At the same time, the goal is to integrate smart seals into existing stack structures. On the one hand, the preload forces applied and the resulting pressure on the seals can be directly linked and the amount of preload can be monitored. Reductions in preload force as a result of a drop in pressure can thus be continuously recorded and corrected by the adaptive stack bracing. In addition, it is possible to monitor the pressure distribution over the sealing surface. Different pressure distributions (e.g. due to shape and position deviations of the stack components) can be recorded and locally adjusted by external control of individual SMA elements.
Partners: TUC-Mess- und Sensortechnik, Straka 3D-Lasertechnik GmbH, Universität Bayreuth
Funded by SAB M-ERA.NET und Sächsische Aufbaubank (SAB) , Duration: 08.04.2024 - 31.03.2027 (36 Monate), Fördervolumen: 544.609 €
Partners: TUC-Mess- und Sensortechnik, internationale Partner
The ISIMON project aims to develop a novel self-sensing Fibre Reinforced Polymer (FRP) vessel for high-pressure fuel storage. This innovation addresses the critical need for monitoring both the fabrication process and the structural health of the vessel during its service life. We achieve this by integrating highly sensitive nanocomposite (NC) based sensors into the FRPs during the winding process for enhancing safety and performance in the automotive, aeronautics, and aerospace industries. Advanced modeling, simulation, and machine learning techniques optimize the smart FRP vessel, reducing material usage through topological optimization. Experimental tests and machine learning algorithms for structural health monitoring validate the vessel's performance, potentially revolutionising hydrogen fuel storage with cost-effective, real-time monitoring capabilities.
Funded by SAB Sächsische Aufbaubank (SAB) , Duration: 01.03.2025 - 31.12.2027 (34 Monate), Fördervolumen: 850.627 €
Partners: Professur für Mess- und Sensortechnik, Professur für Produktionssysteme und -prozesse
PolySens focuses on developing polymer-based nanocomposite strain and pressure sensors for machine tool applications. The project aims to develop a generic methodology for sensor material design, integration, and validation, enabling sustainable Industry 4.0 applications in mechanical engineering, including bolt joint monitoring and hydrodynamic linear guide lubrication control. Through systematic material development, integration into real machine components, and validated measurement methods, a transferable solution for intelligent manufacturing systems is created.
Funded by Zentrales Innovationsprogramm Mittelstand (ZIM) , Duration: 01.07.2025 - 31.12.2027 (30 Monate), Fördervolumen: 220.000 €
Partners: TUC-Mess- und Sensortechnik, Industriepartner
Funded by vom BmWE, Laufzeit 2023-2026 , Duration: 2023-2026
Partners: TUC-Mess- und Sensortechnik, Siebdruck Freudenberg GmBH, etatronix GmbH
Funded by BMWi vom BmWi, Laufzeit 2020-2022
Partners: TUC-Mess- und Sensortechnik, JG special products GmbH, aiXtrusion GmbH, IPM Industrieprodukte Meissner GmbH
Funded by BMWi vom BmWi, Laufzeit 2020-2022
Partners: TUC-Mess- und Sensortechnik, Fraunhofer-Institut für Mikroelektronische Schaltungen und Systeme IMS, Gesellschaft für Elektronik und Design mbH
Funded by SAB EU the SAB from European funds, duration 7/2018-6/2021
Partners: TUC measurement and sensor technology, TUC numerical mathematics, TUC control technology and system dynamics, TUC supramolecular chemistry
With the developed sensor concept, a continuous monitoring of nitrate in the soil is possible. Due to the self-sufficient energy supply, the sensor system works maintenance-free and efficiently. A field or farm-related assignment of nitrate input is possible through suitable placement of the sensors and a suitable measuring point density. This sensor thus serves both as a control instrument both for farmers to evaluate the soil conditions as a basis for determining the fertilizer requirements for the respective crop and the necessary nutrient input and for the responsible environmental authorities to evaluate the nitrate content in soil to protect water bodies and comply with the rules on fertilization according to good professional practice, e.g. B. Compliance with distances to water bodies or fertilization black-out periods. This needs assessment results in cost savings through optimal fertilization while protecting the soil at the same time.
Duration: 2022 - 2024
Partners: TUC-Measurement and Sensor Technology, HEMA - Orthopädische Systeme GmbH
Funded by EU the European Union as part of the M-Era.Net program , Duration: 06/2020 - 12/2023 (42 months) (43 months)
Partners: TUC-Measurement and Sensor Technology, TUC-Lightweight Construction and Plastics Processing, Luxembourg Institute of Science and Technology, Technical University of Liberec
Funded by the Federal Ministry of Agriculture and Food (BmLE) , Duration: 2020 - 2023
Partners: TUC-Measurement and Sensor Technology, kessler engineering GmbH, Gummiwerk KRAIBURG Elastik GmbH & Co. KG, FFI GmbH, Institute for Bioprocess and Analysis Measurement Technology e.V.
Duration: 15/06/2021 - 31/05/2024
Partners: TUC-Measurement and Sensor Technology, TUC-Professorship for Lightweight Structures and Plastics Processing, ?zmir Katip Çelebi University (Turkey), University of Sao Paulo FFCLRP (Brazil), Bavi Plastic Ltda. (Brazil)
Funded by the Central Innovation Program for SMEs (ZIM) , Duration: 06/01/2022 - 05/31/2024
Partners: TUC-Measurement and Sensor Technology, Mosca Electronics and Drive Technology GmbH, Hammerich Orthopädie GmbH Wismar
The aim of the project was to develop a new type of intelligent, durable insole with multi-sensors (10-20) for precise foot pressure measurement in the range of 5-800 kPa. A dispersion process for the production of ultra-thin CNT sensors with a layer thickness of 350-400 µm was developed.
Funded by the Central Innovation Program for SMEs (ZIM) , Duration: 08/01/2022 - 07/31/2024
Partners: TUC-Measurement and Sensor Technology, Motz GmbH
Funded by the Central Innovation Program for SMEs (ZIM) , Duration: 03/01/2023 - 02/28/2025
Partners: TUC-Measurement and Sensor Technology, Hydrostat International GmbH Energy Absorbing Devices + Service, ElektroSolid GmbH
Funded by the Central Innovation Program for SMEs (ZIM) , Duration: 02/01/2023 - 01/31/2025
Partners: TUC-Measurement and Sensor Technology, VELA Performance GmbH, Entiac GmbH
Funded by BMWi BMWi and TU Chemnitz , Duration: 1/2020-12/2021 (24 months)
Partners: TUC measurement and sensor technology
Funded by BMWi the BMWi as part of the IGF program, project duration: 08/2018 -06/2020 , Duration: 08/2018 -06/2020 (23 months)
Partners: TUC measurement and sensor technology, TUC print media technology, TITV Greiz
Funded by SAB the SAB and EFFRE funds , Duration: 1/2020 - 04/2022 (28 months)
Partners: TUC measurement and sensor technology, Fraunhofer Institute for Machine Tools and Forming Technology (IWU), Scherdel Marienberg GmbH, ANDAV electronics GmbH i. G., IDT Industrial and Sealing Technology Works Kupferring GmbH
At the same time, the goal is to integrate smart seals into existing stack structures. On the one hand, the preload forces applied and the resulting pressure on the seals can be directly linked and the amount of preload can be monitored. Reductions in preload force as a result of a drop in pressure can thus be continuously recorded and corrected by the adaptive stack bracing. In addition, it is possible to monitor the pressure distribution over the sealing surface. Different pressure distributions (e.g. due to shape and position deviations of the stack components) can be recorded and locally adjusted by external control of individual SMA elements.
Batteries and Energy Storage
Funded by BMBF the BmBF, duration 30 months
Partners: TUC measurement and sensor technology, SEBA hydrology, JuB GmbH
Funded by BMBF the BmBF, duration 30 months
Partners: TUC measurement and sensor technology, SEBA hydrology, JuB GmbH
Novel Sensors and Measurement Methods Based on Impedance Spectroscopy
Funded by DFG EU von der Deutschen Forschungsgemeinschaft im Rahmen des Schwerpunktprogramms 2183: Eigenschaftsgeregelte Umformprozesse, DFG Projektnummer: 424334154 , Duration: 3/2020 - 2/2024 (48 Monate in der 1. und 2. Förderphase)
Partners: TUC-Mess- und Sensortechnik, TUC-Virtuelle Fertigungstechnik
The project (SPP 2183) aims to develop a novel control strategy for the incremental forming process of projecting. The basic concept consists of the determination and targeted setting of the target strength of rotationally symmetrical components during forming. A multi-sensor system is used for this, which consists of a magnetic field sensor with integrated temperature and distance measurement. In addition to the targeted adjustment of component properties, it is also possible to react to external influences such as batch fluctuations or irregularities in the sheet thickness during forming.
Funded by BMWK das Bundesministerium für Wirtschaft und Klimaschutz (BMWK), Projektnummer: 03EI3019B , Duration: 1/2021 - 12/2023
Partners: TUC-Mess- und Sensortechnik, Gossen Metrawatt GmbH, AMAC GmbH
ImpTest is an innovative system for monitoring and evaluating the condition of batteries used in electric vehicles and energy storage systems. ImpTest is based on measuring impedance, a parameter that reflects the electrical properties of a battery. Through cloud-based analysis of impedance data, ImpTest can track a battery's life cycle, determine its state of charge and health, and identify potential faults or deterioration early on. ImpTest thus offers a reliable and cost-effective solution for managing battery fleets in various application areas. The heart of the battery tester is an impedance-based battery measurement module that can be configured as a modular plug-in or as a measurement card in battery testers or used as separate measurement hardware in a stationary energy storage system. The main goal of the ImpTest project is to develop a mixed-signal ASIC (Application-Specific Integrated Circuit) that allows measuring current and voltage at different frequencies to calculate impedance with high resolution. The project is divided into several work packages, including requirements analysis, system specification, fundamental research on impedance spectroscopy for battery tests, development of the battery test module, development and manufacture of the battery test ASIC, development of the battery tester and redesign of the tester assemblies.
Funded by EU ESF von Mitteln der European Social Fund Plus (ESF Plus) und des Freistaats Sachsen, 1/2023 - 12/2024
Partners: TUC-Alternative Fahrzeugantriebe, TUC-Betriebswirtschaft - Betriebliche Umweltökonomie und Nachhaltigkeit, TUC-Elektrische Energiewandlungssysteme und Antriebe, TUC-Energie- und Hochspannungstechnik, TUC-Mess- und Sensortechnik, TUC-Regelungstechnik und Systemdynamik, TUC-Technische Thermodynamik
HZwo-StabiGrid aims to integrate hydrogen systems into the power grid. Two main goals are being pursued: firstly, to reduce the risk of grid failures and secondly, to make a positive contribution to the energy transition through the use of hydrogen as an energy source. In order to ensure grid stability in the course of the energy transition, we are researching in the project the performance that green hydrogen-based energy storage systems must have in comparison to traditional storage systems. In particular, we are investigating the extent to which hydrogen systems and their converters can meet the requirements of power grids with more than 80 percent renewable energy and thus take on the role of energy storage. We are thus making a fundamental contribution to the discussion about the development of energy conversion systems for renewable energies. In addition, our junior research group is developing a guide describing the risk of grid instability for different combinations of power generation plants and energy storage systems with grid-connected or grid-forming inverters. In addition to the research performance, the team also wants to devote itself to technology transfer. For this purpose, suitable formats are to be developed together with the Saxon Competence Center for Hydrogen and Fuel Cells and cooperation with industrial partners is to be established.
Funded by BMWi vom BMWi Im Rahmen des Programms ZIM, Laufzeit 2020 – 2022
Partners: TUC-Mess- und Sensortechnik, Steinbeis Innovation GmbH, Weber Schweißmaschinen GmbH, Waldemar Frank Formenbau GmbH
The monitoring of the seam connection quality during the welding process offers the advantages of the material-technological characterization of the weld pool with regard to the solidification process of the seam geometry to be mapped, the detection of possible defects and the description of the heating and cooling processes of the materials during welding. An inline sensor and control system is to be developed that records the magnetic and electrical properties of the workpiece via a suitable profile using a large number of sensor elements. The approach pursued is intended to ensure the quality assurance of the welding process and the resilience of the weld seam, despite the extreme temperatures and the strong electromagnetic fields generated by the arc.
Funded by BMWi vom BMWi Im Rahmen des Programms ZIM, Laufzeit 2020 – 2022
Partners: TUC-Mess- und Sensortechnik, BS Banktechnik GmbH
Funded by EU vom Deutschen Akademischen Austauschdienst (DAAD) , Duration: 3/2019 - 12/2021 (33 Monate)
Partners: TUC Mess- und Sensortechnik (MST), Digital Research Center of Sfax (CRNS)
Funded by vom IEEE, Laufzeit 12 Monate
Funded by BMWi the BMWi as part of the ZIM program, duration 2020 - 2022
Partners: TUC measurement and sensor technology, Steinbeis Innovation GmbH, Weber Schweissmaschinen GmbH, Waldemar Frank Formenbau GmbH
The monitoring of the seam connection quality during the welding process offers the advantages of the material-technological characterization of the weld pool with regard to the solidification process of the seam geometry to be mapped, the detection of possible defects and the description of the heating and cooling processes of the materials during welding. An inline sensor and control system is to be developed that records the magnetic and electrical properties of the workpiece via a suitable profile using a large number of sensor elements. The approach pursued is intended to ensure the quality assurance of the welding process and the resilience of the weld seam, despite the extreme temperatures and the strong electromagnetic fields generated by the arc.
Funded by BMWi the BMWi as part of the ZIM program, duration 2020 - 2022
Partners: TUC measurement and sensor technology, BS Banktechnik GmbH
Coin counting and classification machines use the combined information from several sensors to implement a classification into real coins and counterfeits. Due to typical production-related deviations in the sensors, the classes and class limits in the classification algorithms must be individually adapted to the individual system in multi-sensor systems. The aim of the project is to automate this process. For this purpose, methods such as supervised learning, support vector machines, neural networks and unsupervised learning are to be implemented and evaluated. For example, if a new type of counterfeit occurs repeatedly, the system can independently send a signal to the user and manufacturer.
Funded by the German Academic Exchange Service (DAAD) , Duration: 3/2019 - 12/2021 (33 months)
Partners: TUC Measurement and Sensor Technology (MST), Digital Research Center of Sfax (CRNS)
The aim of the project is to develop a platform for wearable bioimpedance measuring devices for health monitoring and tissue diagnosis. This requires an accurate and broadband excitation and a fast, low-cost measurement. The possibilities for implementing broadband excitation signals on embedded systems are investigated. Several architectures for designing voltage controlled current sources are studied and compared. The project aims to apply bioimpedance together with specialists from medicine and sports.
Funded by the Ministry of Higher Education (Tunisia) , Duration: 5/2020 - 4/2022 (24 months)
Partners: TUC Measurement and Sensor Technology (MST), Ecole Nationale d'Ingénieurs de Sousse, Ecole Nationale d'Ingénieurs de Sfax, Ecole Nationale d'Eléctronique et des Telecommunications, Hôpital Farhat Hached Sousse
Goal: The goal of the project is the development of an assistance system for people with acute or chronic respiratory insufficiency. The system consists of an artificial ventilator, a non-invasive system for tomographic measurement of the electrical impedance of the lungs and a platform for remote monitoring/diagnosis of patients in the ICU or at home. A digital platform will ensure collaborative telediagnosis and tele-expertise, especially in areas with low medical demographics.
Funded by BMWK the Federal Ministry of Economics and Climate Protection (BMWK), project number: 03EI3019B , Duration: 1/2021 - 12/2023
Partners: TUC measurement and sensor technology, Gossen Metrawatt GmbH, AMAC GmbH
The main goal of the ImpTest project is to develop a mixed-signal ASIC (Application-Specific Integrated Circuit) that allows measuring current and voltage at different frequencies to calculate impedance with high resolution. The project is divided into several work packages, including requirements analysis, system specification, fundamental research on impedance spectroscopy for battery tests, development of the battery test module, development and manufacture of the battery test ASIC, development of the battery tester and redesign of the tester assemblies.
Funded by DFG EU von der Deutschen Forschungsgemeinschaft im Rahmen des Schwerpunktprogramms 2183: Eigenschaftsgeregelte Umformprozesse, DFG Projektnummer: 424334154 , Duration: 3/2020 - 2/2024 (48 Monate in der 1. und 2. Förderphase)
Partners: TUC-Mess- und Sensortechnik, TUC-Virtuelle Fertigungstechnik
The project (SPP 2183) aims to develop a novel control strategy for the incremental forming process of projecting. The basic concept consists of the determination and targeted setting of the target strength of rotationally symmetrical components during forming. A multi-sensor system is used for this, which consists of a magnetic field sensor with integrated temperature and distance measurement. In addition to the targeted adjustment of component properties, it is also possible to react to external influences such as batch fluctuations or irregularities in the sheet thickness during forming.
Funded by BMWK das Bundesministerium für Wirtschaft und Klimaschutz (BMWK), Projektnummer: 03EI3019B , Duration: 1/2021 - 12/2023
Partners: TUC-Mess- und Sensortechnik, Gossen Metrawatt GmbH, AMAC GmbH
ImpTest is an innovative system for monitoring and evaluating the condition of batteries used in electric vehicles and energy storage systems. ImpTest is based on measuring impedance, a parameter that reflects the electrical properties of a battery. Through cloud-based analysis of impedance data, ImpTest can track a battery's life cycle, determine its state of charge and health, and identify potential faults or deterioration early on. ImpTest thus offers a reliable and cost-effective solution for managing battery fleets in various application areas. The heart of the battery tester is an impedance-based battery measurement module that can be configured as a modular plug-in or as a measurement card in battery testers or used as separate measurement hardware in a stationary energy storage system. The main goal of the ImpTest project is to develop a mixed-signal ASIC (Application-Specific Integrated Circuit) that allows measuring current and voltage at different frequencies to calculate impedance with high resolution. The project is divided into several work packages, including requirements analysis, system specification, fundamental research on impedance spectroscopy for battery tests, development of the battery test module, development and manufacture of the battery test ASIC, development of the battery tester and redesign of the tester assemblies.
Funded by EU ESF von Mitteln der European Social Fund Plus (ESF Plus) und des Freistaats Sachsen, 1/2023 - 12/2024
Partners: TUC-Alternative Fahrzeugantriebe, TUC-Betriebswirtschaft - Betriebliche Umweltökonomie und Nachhaltigkeit, TUC-Elektrische Energiewandlungssysteme und Antriebe, TUC-Energie- und Hochspannungstechnik, TUC-Mess- und Sensortechnik, TUC-Regelungstechnik und Systemdynamik, TUC-Technische Thermodynamik
HZwo-StabiGrid aims to integrate hydrogen systems into the power grid. Two main goals are being pursued: firstly, to reduce the risk of grid failures and secondly, to make a positive contribution to the energy transition through the use of hydrogen as an energy source. In order to ensure grid stability in the course of the energy transition, we are researching in the project the performance that green hydrogen-based energy storage systems must have in comparison to traditional storage systems. In particular, we are investigating the extent to which hydrogen systems and their converters can meet the requirements of power grids with more than 80 percent renewable energy and thus take on the role of energy storage. We are thus making a fundamental contribution to the discussion about the development of energy conversion systems for renewable energies. In addition, our junior research group is developing a guide describing the risk of grid instability for different combinations of power generation plants and energy storage systems with grid-connected or grid-forming inverters. In addition to the research performance, the team also wants to devote itself to technology transfer. For this purpose, suitable formats are to be developed together with the Saxon Competence Center for Hydrogen and Fuel Cells and cooperation with industrial partners is to be established.
Funded by BMWi vom BMWi Im Rahmen des Programms ZIM, Laufzeit 2020 – 2022
Partners: TUC-Mess- und Sensortechnik, Steinbeis Innovation GmbH, Weber Schweißmaschinen GmbH, Waldemar Frank Formenbau GmbH
The monitoring of the seam connection quality during the welding process offers the advantages of the material-technological characterization of the weld pool with regard to the solidification process of the seam geometry to be mapped, the detection of possible defects and the description of the heating and cooling processes of the materials during welding. An inline sensor and control system is to be developed that records the magnetic and electrical properties of the workpiece via a suitable profile using a large number of sensor elements. The approach pursued is intended to ensure the quality assurance of the welding process and the resilience of the weld seam, despite the extreme temperatures and the strong electromagnetic fields generated by the arc.
Funded by BMWi vom BMWi Im Rahmen des Programms ZIM, Laufzeit 2020 – 2022
Partners: TUC-Mess- und Sensortechnik, BS Banktechnik GmbH
Funded by EU vom Deutschen Akademischen Austauschdienst (DAAD) , Duration: 3/2019 - 12/2021 (33 Monate)
Partners: TUC Mess- und Sensortechnik (MST), Digital Research Center of Sfax (CRNS)
Funded by vom IEEE, Laufzeit 12 Monate
Funded by BMWi the BMWi as part of the ZIM program, duration 2020 - 2022
Partners: TUC measurement and sensor technology, Steinbeis Innovation GmbH, Weber Schweissmaschinen GmbH, Waldemar Frank Formenbau GmbH
The monitoring of the seam connection quality during the welding process offers the advantages of the material-technological characterization of the weld pool with regard to the solidification process of the seam geometry to be mapped, the detection of possible defects and the description of the heating and cooling processes of the materials during welding. An inline sensor and control system is to be developed that records the magnetic and electrical properties of the workpiece via a suitable profile using a large number of sensor elements. The approach pursued is intended to ensure the quality assurance of the welding process and the resilience of the weld seam, despite the extreme temperatures and the strong electromagnetic fields generated by the arc.
Funded by BMWi the BMWi as part of the ZIM program, duration 2020 - 2022
Partners: TUC measurement and sensor technology, BS Banktechnik GmbH
Coin counting and classification machines use the combined information from several sensors to implement a classification into real coins and counterfeits. Due to typical production-related deviations in the sensors, the classes and class limits in the classification algorithms must be individually adapted to the individual system in multi-sensor systems. The aim of the project is to automate this process. For this purpose, methods such as supervised learning, support vector machines, neural networks and unsupervised learning are to be implemented and evaluated. For example, if a new type of counterfeit occurs repeatedly, the system can independently send a signal to the user and manufacturer.
Funded by the German Academic Exchange Service (DAAD) , Duration: 3/2019 - 12/2021 (33 months)
Partners: TUC Measurement and Sensor Technology (MST), Digital Research Center of Sfax (CRNS)
The aim of the project is to develop a platform for wearable bioimpedance measuring devices for health monitoring and tissue diagnosis. This requires an accurate and broadband excitation and a fast, low-cost measurement. The possibilities for implementing broadband excitation signals on embedded systems are investigated. Several architectures for designing voltage controlled current sources are studied and compared. The project aims to apply bioimpedance together with specialists from medicine and sports.
Funded by the Ministry of Higher Education (Tunisia) , Duration: 5/2020 - 4/2022 (24 months)
Partners: TUC Measurement and Sensor Technology (MST), Ecole Nationale d'Ingénieurs de Sousse, Ecole Nationale d'Ingénieurs de Sfax, Ecole Nationale d'Eléctronique et des Telecommunications, Hôpital Farhat Hached Sousse
Goal: The goal of the project is the development of an assistance system for people with acute or chronic respiratory insufficiency. The system consists of an artificial ventilator, a non-invasive system for tomographic measurement of the electrical impedance of the lungs and a platform for remote monitoring/diagnosis of patients in the ICU or at home. A digital platform will ensure collaborative telediagnosis and tele-expertise, especially in areas with low medical demographics.
Funded by BMWK the Federal Ministry of Economics and Climate Protection (BMWK), project number: 03EI3019B , Duration: 1/2021 - 12/2023
Partners: TUC measurement and sensor technology, Gossen Metrawatt GmbH, AMAC GmbH
The main goal of the ImpTest project is to develop a mixed-signal ASIC (Application-Specific Integrated Circuit) that allows measuring current and voltage at different frequencies to calculate impedance with high resolution. The project is divided into several work packages, including requirements analysis, system specification, fundamental research on impedance spectroscopy for battery tests, development of the battery test module, development and manufacture of the battery test ASIC, development of the battery tester and redesign of the tester assemblies.
Electrochemical Sensors
Funded by vom DAAD - Projektbezogenes Austauschprogramm , Duration: 01/2023 - 12/2024 (24 months)
Partners: Technische Universität Chemnitz, Chair of Measurement and Sensor Technology (Germany), Federal University of Parana (Brazil)
Funded by vom DAAD - Projektbezogenes Austauschprogramm , Duration: 01/2022 - 12/2023 (24 months)
Partners: Technische Universität Chemnitz, Chair of Measurement and Sensor Technology (Germany), University of Le Mans (France)
Funded by vom DAAD - Projektbezogenes Austauschprogramm , Duration: 01/2022 - 12/2023 (24 months)
Partners: Technische Universität Chemnitz, Chair of Measurement and Sensor Technology (Germany), Conservatoire National des Arts et Métiers CNAM (France)
Funded by vom DAAD - Projektbezogenes Austauschprogramm , Duration: 01/2024 - 12/2025 (24 months)
Partners: Chemnitz University of Technology (Germany), University of Belgrade - Faculty of Physical Chemistry, and VINCA Institute of Nuclear Sciences (Serbia)
Funded by EU von der Europäischen Kommission , Duration: 01/2023 - 12/2025 (36 months)
Partners: TUC - Mess- und Sensortechnik, Center for Research on Microelectronics and Nanotechnology (CMRN), Sousse, Tunisia, Laboratory of Microelectronic Technologies (LTM), Grenoble, France, Universidad Politécnica de Madrid (UPM), Spain
Funded by DFG EU von der Deutsche Forschungsgemeinschaft (DFG) , Duration: 01/2021 - 12/2023 (36 months)
Partners: TUC - Mess- und Sensortechnik, Tomsk University (Russland)
Funded by DFG EU von der Deutsche Forschungsgemeinschaft (DFG) , Duration: 02/2020 - 01/2023 (36 months)
Partners: TUC-Mess- und Sensortechnik, TUC-Halbleiterphysik
Funded by von der Zentrales Innovationsprogram Mittelstand (ZIM) , Duration: 06/2021 - 12/2023 (31 months)
Partners: TUC-Mess- und Sensortechnik, Hegewald Medizinprodukte GmbH, Lichtenberg, Germany
Funded by von DAAD & Department of Science and Technology (DST), Government of India , Duration: 01/2024 - 12/2025 (24 months)
Partners: Deutschland: Chemnitz University of Technology (Chair of Measurement and Sensor Technology), Indien: Sant Longowal Institute of Engineering & Technology (SLIET)
Funded by SAB the SAB as part of the TG 70 program , Duration: 01/2020 - 12/2023 (48 months)
Partners: TUC control technology and system dynamics, TUC measurement and sensor technology, TUC applied analysis,
Funded by SAB EU von der SAB aus Mitteln der Europäischen Fonds, Laufzeit 7/2018-6/2021
Partners: TUC- Mess- und Sensortechnik, TUC-Numerische Mathematik, TUC-Regelungstechnik und Systemdynamik, TUC-Supramolekulare Chemie
Der Fokus des Forschungsvorhabens liegt in der Umsetzung und Untersuchung eines Sensorsystems zur Detektion von Nitrat und Messung der Nitratkonzentration. Darüber hinaus soll ein autarkes Sensornetzwerk entwickelt werden, mit welchem es sowohl möglich ist, die Nitratsensoren mit ambienter Energie, beispielsweise aus Sonnenlicht oder Temperaturgradienten, zu versorgen als auch die Sensordaten kontinuierlich zu erfassen und an eine zentrale Stelle zur Auswertung drahtlos zu übertragen. Mit dem entwickelten Sensorkonzept wird eine kontinuierliche Überwachung von Nitrat im Boden möglich. Aufgrund der autarken Energieversorgung arbeitet das Sensorsystem wartungsfrei und effizient. Durch geeignete Platzierung der Sensoren und einer geeigneten Messstellendichte wird eine feld- bzw. betriebsbezogene Zuordnung von Nitrateintrag möglich. Dieser Sensor dient damit gleichermaßen als Kontrollinstrument sowohl für die Landwirte zur Bewertung der Bodenbeschaffenheit als Grundlage der Düngebedarfsermittelung für die jeweilige Kultur und den nötigen Nährstoffeintrag als auch für die zuständigen Umweltbehörden zur Bewertung des Nitratgehalts in Böden zum Schutz der Gewässer und der Einhaltung der Regeln des Düngens nach guter fachlicher Praxis, z. B. Einhaltung von Abständen zu Gewässern oder Dünge-Sperrfristen. Aus dieser Bedarfsermittlung ergeben sich Kosteneinsparungen durch die optimale Düngung bei gleichzeitiger Bodenschonung.
Funded by ESF von der SMWA durch ESF Fonds, Laufzeit 01.10.2018 - 30.09.2020
Partners: Corant GmbH, Technische Universität Chemnitz, 3dvisionlabs GmbH
Im Fokus der Forschungsaktivitäten stehen die Themen Gesundheit und Sicherheit, mit der speziellen Zielsetzung der Erkennung von Gefahrensituationen für den Menschen durch gesundheitsschädliche Substanzen und daraus resultierende gefährliche Situationen. Die multimodale Sensorbox soll sich perspektivisch nahtlos in die Technik von Wohn- und Arbeitsräumen integrieren lassen. Die erfassten Daten sollen auf Wunsch zentral über eine Anwendung auf dem Mobiltelefon oder im Browser abgerufen und weiterverarbeitet werden können. Auch können Meldeketten realisiert werden, um bspw. Hilfe zu rufen und Informationen über die Situation vor Ort an Dienstleister und Hilfeleistenden direkt zu übermitteln. Auch die Integration in andere Systeme soll durch Integration standardisierter Schnittstellen vorangetrieben werden. So sollen zum Beispiel Möglichkeiten geschaffen werden Alarmsituationen global über alle verfügbaren Geräte im Netzwerk auszugeben.
Funded by vom DAAD - Projektbezogenes Austauschprogramm , Duration: 01/2023 - 12/2024 (24 months)
Partners: Technische Universität Chemnitz, Chair of Measurement and Sensor Technology (Germany), Federal University of Parana (Brazil)
Funded by vom DAAD - Projektbezogenes Austauschprogramm , Duration: 01/2022 - 12/2023 (24 months)
Partners: Technische Universität Chemnitz, Chair of Measurement and Sensor Technology (Germany), University of Le Mans (France)
Funded by vom DAAD - Projektbezogenes Austauschprogramm , Duration: 01/2022 - 12/2023 (24 months)
Partners: Technische Universität Chemnitz, Chair of Measurement and Sensor Technology (Germany), Conservatoire National des Arts et Métiers CNAM (France)
Funded by vom DAAD - Projektbezogenes Austauschprogramm , Duration: 01/2024 - 12/2025 (24 months)
Partners: Chemnitz University of Technology (Germany), University of Belgrade - Faculty of Physical Chemistry, and VINCA Institute of Nuclear Sciences (Serbia)
PRIMINAS Micro- and nanotechnology research and innovation program for sensors (European Commission)
Funded by EU von der Europäischen Kommission , Duration: 01/2023 - 12/2025 (36 months)
Partners: TUC - Mess- und Sensortechnik, Center for Research on Microelectronics and Nanotechnology (CMRN), Sousse, Tunisia, Laboratory of Microelectronic Technologies (LTM), Grenoble, France, Universidad Politécnica de Madrid (UPM), Spain
Funded by DFG EU von der Deutsche Forschungsgemeinschaft (DFG) , Duration: 01/2021 - 12/2023 (36 months)
Partners: TUC - Mess- und Sensortechnik, Tomsk University (Russland)
Funded by DFG EU von der Deutsche Forschungsgemeinschaft (DFG) , Duration: 02/2020 - 01/2023 (36 months)
Partners: TUC-Mess- und Sensortechnik, TUC-Halbleiterphysik
Funded by von der Zentrales Innovationsprogram Mittelstand (ZIM) , Duration: 06/2021 - 12/2023 (31 months)
Partners: TUC-Mess- und Sensortechnik, Hegewald Medizinprodukte GmbH, Lichtenberg, Germany
Funded by von DAAD & Department of Science and Technology (DST), Government of India , Duration: 01/2024 - 12/2025 (24 months)
Partners: Deutschland: Chemnitz University of Technology (Chair of Measurement and Sensor Technology), Indien: Sant Longowal Institute of Engineering & Technology (SLIET)
Funded by SAB the SAB as part of the TG 70 program , Duration: 01/2020 - 12/2023 (48 months)
Partners: TUC control technology and system dynamics, TUC measurement and sensor technology, TUC applied analysis,
Funded by SAB EU von der SAB aus Mitteln der Europäischen Fonds, Laufzeit 7/2018-6/2021
Partners: TUC- Mess- und Sensortechnik, TUC-Numerische Mathematik, TUC-Regelungstechnik und Systemdynamik, TUC-Supramolekulare Chemie
Der Fokus des Forschungsvorhabens liegt in der Umsetzung und Untersuchung eines Sensorsystems zur Detektion von Nitrat und Messung der Nitratkonzentration. Darüber hinaus soll ein autarkes Sensornetzwerk entwickelt werden, mit welchem es sowohl möglich ist, die Nitratsensoren mit ambienter Energie, beispielsweise aus Sonnenlicht oder Temperaturgradienten, zu versorgen als auch die Sensordaten kontinuierlich zu erfassen und an eine zentrale Stelle zur Auswertung drahtlos zu übertragen. Mit dem entwickelten Sensorkonzept wird eine kontinuierliche Überwachung von Nitrat im Boden möglich. Aufgrund der autarken Energieversorgung arbeitet das Sensorsystem wartungsfrei und effizient. Durch geeignete Platzierung der Sensoren und einer geeigneten Messstellendichte wird eine feld- bzw. betriebsbezogene Zuordnung von Nitrateintrag möglich. Dieser Sensor dient damit gleichermaßen als Kontrollinstrument sowohl für die Landwirte zur Bewertung der Bodenbeschaffenheit als Grundlage der Düngebedarfsermittelung für die jeweilige Kultur und den nötigen Nährstoffeintrag als auch für die zuständigen Umweltbehörden zur Bewertung des Nitratgehalts in Böden zum Schutz der Gewässer und der Einhaltung der Regeln des Düngens nach guter fachlicher Praxis, z. B. Einhaltung von Abständen zu Gewässern oder Dünge-Sperrfristen. Aus dieser Bedarfsermittlung ergeben sich Kosteneinsparungen durch die optimale Düngung bei gleichzeitiger Bodenschonung.
Funded by ESF von der SMWA durch ESF Fonds, Laufzeit 01.10.2018 - 30.09.2020
Partners: Corant GmbH, Technische Universität Chemnitz, 3dvisionlabs GmbH
Im Fokus der Forschungsaktivitäten stehen die Themen Gesundheit und Sicherheit, mit der speziellen Zielsetzung der Erkennung von Gefahrensituationen für den Menschen durch gesundheitsschädliche Substanzen und daraus resultierende gefährliche Situationen. Die multimodale Sensorbox soll sich perspektivisch nahtlos in die Technik von Wohn- und Arbeitsräumen integrieren lassen. Die erfassten Daten sollen auf Wunsch zentral über eine Anwendung auf dem Mobiltelefon oder im Browser abgerufen und weiterverarbeitet werden können. Auch können Meldeketten realisiert werden, um bspw. Hilfe zu rufen und Informationen über die Situation vor Ort an Dienstleister und Hilfeleistenden direkt zu übermitteln. Auch die Integration in andere Systeme soll durch Integration standardisierter Schnittstellen vorangetrieben werden. So sollen zum Beispiel Möglichkeiten geschaffen werden Alarmsituationen global über alle verfügbaren Geräte im Netzwerk auszugeben.
Micro and Nano Sensors
Duration: 2022 - 2024
Partners: TUC-Mess- und Sensortechnik, HEMA - Orthopädische Systeme GmbH
Funded by EU von der Europäischen Union im Rahmen des Programms M-Era.Net , Duration: 06/2020 - 12/2023 (42 Monate) (43 months)
Partners: TUC-Mess- und Sensortechnik, TUC-Strukturleichtbau und Kunststoffverarbeitung, Luxembourg Institute of Science and Technology, Technical University of Liberec
Funded by vom Bundesministerium für Landwirtschaft und Ernährung (BmLE) , Duration: 2020 - 2023
Partners: TUC-Mess- und Sensortechnik, kessler engineering GmbH, Gummiwerk KRAIBURG Elastik GmbH & Co. KG, FFI GmbH, Institut für Bioprozess- und Analysenmesstechnik e.V.
Duration: 15/06/2021 - 31/05/2024
Partners: TUC-Mess- und Sensortechnik, TUC-Professur Strukturleichtbau und Kunststoffverarbeitung, ?zmir Katip Çelebi University (Türkei), University of Sao Paulo FFCLRP (Brasilien), Bavi Plastic Ltda. (Brasilien)
Funded by von der Zentrales Innovationsprogramm Mittelstand (ZIM) , Duration: 01.06.2022 - 31.05.2024
Partners: TUC-Mess- und Sensortechnik, Mosca Elektronik und Antriebstechnik GmbH, Hammerich Orthopädie GmbH Wismar
Funded by von der Zentrales Innovationsprogramm Mittelstand (ZIM) , Duration: 01.08.2022 - 31.07.2024
Partners: TUC-Mess- und Sensortechnik, Motz GmbH
Funded by von der Zentrales Innovationsprogramm Mittelstand (ZIM) , Duration: 01.03.2023 - 28.02.2025
Partners: TUC-Mess- und Sensortechnik, Hydrostat International GmbH Energy Absorbing Devices + Service, ElektroSolid GmbH
Funded by von der Zentrales Innovationsprogramm Mittelstand (ZIM) , Duration: 01.02.2023 - 31.01.2025
Partners: TUC-Mess- und Sensortechnik, VELA Performance GmbH, Entiac GmbH
Funded by BMWi vom BMWi und TU Chemnitz , Duration: 1/2020-12/2021 (24 Monate)
Partners: TUC-Mess- und Sensortechnik
Funded by BMWi vom BMWi im Rahmen des Programms IGF, Projektlaufzeit: 08.2018 -06.2020 , Duration: 08.2018 -06.2020
Partners: TUC measurement and sensor technology, TUC print media technology, TITV Greiz
Funded by SAB von der SAB und EFFRE Fonds , Duration: 1/2020 - 04/2022 (28 Monate)
Partners: TUC-Mess- und Sensortechnik, Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (IWU), Scherdel Marienberg GmbH, ANDAV electronics GmbH i. G., IDT Industrie- und Dichtungstechnik Werk Kupferring GmbH
At the same time, the goal is to integrate smart seals into existing stack structures. On the one hand, the preload forces applied and the resulting pressure on the seals can be directly linked and the amount of preload can be monitored. Reductions in preload force as a result of a drop in pressure can thus be continuously recorded and corrected by the adaptive stack bracing. In addition, it is possible to monitor the pressure distribution over the sealing surface. Different pressure distributions (e.g. due to shape and position deviations of the stack components) can be recorded and locally adjusted by external control of individual SMA elements.
Funded by DFG the German Research Foundation (DFG) as part of the Collaborative Research Center (SFB 1410) Hybrid Societies - Humans Interacting with Embodied Technologies , Duration: 2/2020 - 2/2022 (48 months)
Partners: TUC-Measurement and Sensor Technology, TUC-Sports Equipment & Technology
Funded by the German Research Foundation (DFG) as part of the Collaborative Research Center (SFB 1410) Hybrid Societies - Humans Interacting with Embodied Technologies, duration: 2/2020 - 2/2022 (48 months) Partners: TUC-Measurement and Sensor Technology, TUC-Sports Equipment & Technology Aim: The project aimed at the systematic elaboration of a methodology for setting up custom biomimetic BASNs for real-time detection of BGC and complex gestures based on novel sensor principles using polymeric carbon nanotube composites (PCN) with high sensitivity to pressure and load.
Funded by sponsors: beginning 08/10/2020 - beginning 07/10/2022
Partners: TUC measurement and sensor technology (Germany), imk automotive GmbH, Institute for Mechatronics e. V
Goal: SimKra pursues the goal of digitally securing assembly processes by means of a parameterized simulation of joining forces in order to at least reduce the aforementioned health risks for the workers involved in assembly, which also increases the profitability of the company. The design of humane and economical processes requires precise and efficient determination of joining forces and times. For this reason, a methodology is being developed as part of the SimKra research project, which makes it possible to determine the joining forces acting during manual joining and the loads in the hand-arm system as part of virtual production planning according to ergonomically and economically relevant criteria Properties of the joining partners, joining point, coupling and environmental conditions are taken into account in the forecast model to be developed for the determination of joining forces. The prognosis model is created from extensive measurements in connection with FEM simulations. The basis for the numerical model to be developed is an extensive series of measurements, which include both idealized standardized measurements and practical measurements using various measuring instruments and subjects. In order to collect valid force data, force measurement methods, sensors and a corresponding force measuring stand must be designed with which the joining conditions and the work execution can be varied and their influence on the joining force can be mapped in the model.
Duration: 2022 - 2024
Partners: TUC-Mess- und Sensortechnik, HEMA - Orthopädische Systeme GmbH
Funded by EU von der Europäischen Union im Rahmen des Programms M-Era.Net , Duration: 06/2020 - 12/2023 (42 Monate) (43 months)
Partners: TUC-Mess- und Sensortechnik, TUC-Strukturleichtbau und Kunststoffverarbeitung, Luxembourg Institute of Science and Technology, Technical University of Liberec
Funded by vom Bundesministerium für Landwirtschaft und Ernährung (BmLE) , Duration: 2020 - 2023
Partners: TUC-Mess- und Sensortechnik, kessler engineering GmbH, Gummiwerk KRAIBURG Elastik GmbH & Co. KG, FFI GmbH, Institut für Bioprozess- und Analysenmesstechnik e.V.
Duration: 15/06/2021 - 31/05/2024
Partners: TUC-Mess- und Sensortechnik, TUC-Professur Strukturleichtbau und Kunststoffverarbeitung, ?zmir Katip Çelebi University (Türkei), University of Sao Paulo FFCLRP (Brasilien), Bavi Plastic Ltda. (Brasilien)
Funded by von der Zentrales Innovationsprogramm Mittelstand (ZIM) , Duration: 01.06.2022 - 31.05.2024
Partners: TUC-Mess- und Sensortechnik, Mosca Elektronik und Antriebstechnik GmbH, Hammerich Orthopädie GmbH Wismar
Funded by von der Zentrales Innovationsprogramm Mittelstand (ZIM) , Duration: 01.08.2022 - 31.07.2024
Partners: TUC-Mess- und Sensortechnik, Motz GmbH
Funded by von der Zentrales Innovationsprogramm Mittelstand (ZIM) , Duration: 01.03.2023 - 28.02.2025
Partners: TUC-Mess- und Sensortechnik, Hydrostat International GmbH Energy Absorbing Devices + Service, ElektroSolid GmbH
Funded by von der Zentrales Innovationsprogramm Mittelstand (ZIM) , Duration: 01.02.2023 - 31.01.2025
Partners: TUC-Mess- und Sensortechnik, VELA Performance GmbH, Entiac GmbH
Funded by BMWi vom BMWi und TU Chemnitz , Duration: 1/2020-12/2021 (24 Monate)
Partners: TUC-Mess- und Sensortechnik
Funded by BMWi vom BMWi im Rahmen des Programms IGF, Projektlaufzeit: 08.2018 -06.2020 , Duration: 08.2018 -06.2020
Partners: TUC measurement and sensor technology, TUC print media technology, TITV Greiz
Funded by SAB von der SAB und EFFRE Fonds , Duration: 1/2020 - 04/2022 (28 Monate)
Partners: TUC-Mess- und Sensortechnik, Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (IWU), Scherdel Marienberg GmbH, ANDAV electronics GmbH i. G., IDT Industrie- und Dichtungstechnik Werk Kupferring GmbH
At the same time, the goal is to integrate smart seals into existing stack structures. On the one hand, the preload forces applied and the resulting pressure on the seals can be directly linked and the amount of preload can be monitored. Reductions in preload force as a result of a drop in pressure can thus be continuously recorded and corrected by the adaptive stack bracing. In addition, it is possible to monitor the pressure distribution over the sealing surface. Different pressure distributions (e.g. due to shape and position deviations of the stack components) can be recorded and locally adjusted by external control of individual SMA elements.
Funded by DFG the German Research Foundation (DFG) as part of the Collaborative Research Center (SFB 1410) Hybrid Societies - Humans Interacting with Embodied Technologies , Duration: 2/2020 - 2/2022 (48 months)
Partners: TUC-Measurement and Sensor Technology, TUC-Sports Equipment & Technology
Funded by the German Research Foundation (DFG) as part of the Collaborative Research Center (SFB 1410) Hybrid Societies - Humans Interacting with Embodied Technologies, duration: 2/2020 - 2/2022 (48 months) Partners: TUC-Measurement and Sensor Technology, TUC-Sports Equipment & Technology Aim: The project aimed at the systematic elaboration of a methodology for setting up custom biomimetic BASNs for real-time detection of BGC and complex gestures based on novel sensor principles using polymeric carbon nanotube composites (PCN) with high sensitivity to pressure and load.
Funded by sponsors: beginning 08/10/2020 - beginning 07/10/2022
Partners: TUC measurement and sensor technology (Germany), imk automotive GmbH, Institute for Mechatronics e. V
Goal: SimKra pursues the goal of digitally securing assembly processes by means of a parameterized simulation of joining forces in order to at least reduce the aforementioned health risks for the workers involved in assembly, which also increases the profitability of the company. The design of humane and economical processes requires precise and efficient determination of joining forces and times. For this reason, a methodology is being developed as part of the SimKra research project, which makes it possible to determine the joining forces acting during manual joining and the loads in the hand-arm system as part of virtual production planning according to ergonomically and economically relevant criteria Properties of the joining partners, joining point, coupling and environmental conditions are taken into account in the forecast model to be developed for the determination of joining forces. The prognosis model is created from extensive measurements in connection with FEM simulations. The basis for the numerical model to be developed is an extensive series of measurements, which include both idealized standardized measurements and practical measurements using various measuring instruments and subjects. In order to collect valid force data, force measurement methods, sensors and a corresponding force measuring stand must be designed with which the joining conditions and the work execution can be varied and their influence on the joining force can be mapped in the model.
Wearable Systems
Funded by DFG EU von der Deutschen Forschungsgemeinschaft (DFG) im Rahmen des Sonderforschungsbereichs (SFB 1410) Hybrid Societies - Humans Interacting with Embodied Technologies , Duration: 2/2020 - 2/2022 (48 Monate)
Partners: TUC-Mess- und Sensortechnik, TUC-Sportgeräte & Technik
Funded by the German Research Foundation (DFG) as part of the Collaborative Research Center (SFB 1410) Hybrid Societies - Humans Interacting with Embodied Technologies, duration: 2/2020 - 2/2022 (48 months) Partners: TUC-Measurement and Sensor Technology, TUC-Sports Equipment & Technology Aim: The project aimed at the systematic elaboration of a methodology for setting up custom biomimetic BASNs for real-time detection of BGC and complex gestures based on novel sensor principles using polymeric carbon nanotube composites (PCN) with high sensitivity to pressure and load.
Funded by Förderer: Beginn 08/10/2020 -Anfang 07/10/2022
Partners: TUC- Mess- und Sensortechnik (Deutschland), imk automotive GmbH, Institut für Mechatronik e. V.
Goal: SimKra pursues the goal of digitally securing assembly processes by means of a parameterized simulation of joining forces in order to at least reduce the aforementioned health risks for the workers involved in assembly, which also increases the profitability of the company. The design of humane and economical processes requires precise and efficient determination of joining forces and times. For this reason, a methodology is being developed as part of the SimKra research project, which makes it possible to determine the joining forces acting during manual joining and the loads in the hand-arm system as part of virtual production planning according to ergonomically and economically relevant criteria Properties of the joining partners, joining point, coupling and environmental conditions are taken into account in the forecast model to be developed for the determination of joining forces. The prognosis model is created from extensive measurements in connection with FEM simulations. The basis for the numerical model to be developed is an extensive series of measurements, which include both idealized standardized measurements and practical measurements using various measuring instruments and subjects. In order to collect valid force data, force measurement methods, sensors and a corresponding force measuring stand must be designed with which the joining conditions and the work execution can be varied and their influence on the joining force can be mapped in the model.
Funded by the Ministry of Higher Education (Tunisia) , Duration: 5/2020 - 4/2022 (24 Monate)
Partners: TUC Mess- und Sensortechnik (MST), Ecole Nationale d'Ingénieurs de Sousse, Ecole Nationale d'Ingénieurs de Sfax, Ecole Nationale d'Eléctronique et des Telecommunications, Hôpital Farhat Hached Sousse
Goal: The goal of the project is the development of an assistance system for people with acute or chronic respiratory insufficiency. The system consists of an artificial ventilator, a non-invasive system for tomographic measurement of the electrical impedance of the lungs and a platform for remote monitoring/diagnosis of patients in the ICU or at home. A digital platform will ensure collaborative telediagnosis and tele-expertise, especially in areas with low medical demographics.
Humans effortlessly coordinate with one another because of their ability to communicate, recognize intention, and control movement. They dodge each other skillfully or hand over objects without a time delay. In order for encounters and cooperation in hybrid societies to be similarly fluid, it is necessary to achieve efficient coordination between humans and embodied technologies such as robots. This requires knowledge of human interactions and technical skills. Therefore, researchers from the fields of psychology, engineering, computer science, movement sciences, linguistics, gesture research, sociology, physics, mathematics, and law work closely together in the CRC "Hybrid Societies." The scientific questions related to new forms of human-technology interaction which arise from the rapid development of embodied technologies. Embodied technologies include those that are partially or temporarily controlled by humans, such as bionic prostheses or telepresence robots and avatars in virtual realities. For more information, see : https://hybrid-societies.org/
Funded by DFG EU von der Deutschen Forschungsgemeinschaft (DFG) im Rahmen des Sonderforschungsbereichs (SFB 1410) Hybrid Societies - Humans Interacting with Embodied Technologies , Duration: 2/2020 - 2/2022 (48 Monate)
Partners: TUC-Mess- und Sensortechnik, TUC-Sportgeräte & Technik
Funded by the German Research Foundation (DFG) as part of the Collaborative Research Center (SFB 1410) Hybrid Societies - Humans Interacting with Embodied Technologies, duration: 2/2020 - 2/2022 (48 months) Partners: TUC-Measurement and Sensor Technology, TUC-Sports Equipment & Technology Aim: The project aimed at the systematic elaboration of a methodology for setting up custom biomimetic BASNs for real-time detection of BGC and complex gestures based on novel sensor principles using polymeric carbon nanotube composites (PCN) with high sensitivity to pressure and load.
Funded by Förderer: Beginn 08/10/2020 -Anfang 07/10/2022
Partners: TUC- Mess- und Sensortechnik (Deutschland), imk automotive GmbH, Institut für Mechatronik e. V.
Goal: SimKra pursues the goal of digitally securing assembly processes by means of a parameterized simulation of joining forces in order to at least reduce the aforementioned health risks for the workers involved in assembly, which also increases the profitability of the company. The design of humane and economical processes requires precise and efficient determination of joining forces and times. For this reason, a methodology is being developed as part of the SimKra research project, which makes it possible to determine the joining forces acting during manual joining and the loads in the hand-arm system as part of virtual production planning according to ergonomically and economically relevant criteria Properties of the joining partners, joining point, coupling and environmental conditions are taken into account in the forecast model to be developed for the determination of joining forces. The prognosis model is created from extensive measurements in connection with FEM simulations. The basis for the numerical model to be developed is an extensive series of measurements, which include both idealized standardized measurements and practical measurements using various measuring instruments and subjects. In order to collect valid force data, force measurement methods, sensors and a corresponding force measuring stand must be designed with which the joining conditions and the work execution can be varied and their influence on the joining force can be mapped in the model.
Funded by the Ministry of Higher Education (Tunisia) , Duration: 5/2020 - 4/2022 (24 Monate)
Partners: TUC Mess- und Sensortechnik (MST), Ecole Nationale d'Ingénieurs de Sousse, Ecole Nationale d'Ingénieurs de Sfax, Ecole Nationale d'Eléctronique et des Telecommunications, Hôpital Farhat Hached Sousse
Goal: The goal of the project is the development of an assistance system for people with acute or chronic respiratory insufficiency. The system consists of an artificial ventilator, a non-invasive system for tomographic measurement of the electrical impedance of the lungs and a platform for remote monitoring/diagnosis of patients in the ICU or at home. A digital platform will ensure collaborative telediagnosis and tele-expertise, especially in areas with low medical demographics.
Humans effortlessly coordinate with one another because of their ability to communicate, recognize intention, and control movement. They dodge each other skillfully or hand over objects without a time delay. In order for encounters and cooperation in hybrid societies to be similarly fluid, it is necessary to achieve efficient coordination between humans and embodied technologies such as robots. This requires knowledge of human interactions and technical skills. Therefore, researchers from the fields of psychology, engineering, computer science, movement sciences, linguistics, gesture research, sociology, physics, mathematics, and law work closely together in the CRC "Hybrid Societies." The scientific questions related to new forms of human-technology interaction which arise from the rapid development of embodied technologies. Embodied technologies include those that are partially or temporarily controlled by humans, such as bionic prostheses or telepresence robots and avatars in virtual realities. For more information, see : https://hybrid-societies.org/
Batteries and Energy Storage
Funded by BMBF vom BmBF, Laufzeit 30 Monate
Partners: TUC-Mess- und Sensortechnik, SEBA Hydrologie, JuB GmbH
Funded by BMBF vom BmBF, Laufzeit 30 Monate
Partners: TUC-Mess- und Sensortechnik, SEBA Hydrologie, JuB GmbH
Information about our cooperations and networks can be found in the respective project descriptions.